Robust stability of delayed fuzzy Cohen-Grossberg neural networks

Authors:
Tingwen Huang
Affiliations:
-
Venue:
Computers & Mathematics with Applications
Year:
2011

Citing 7
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Abstract

In this paper, using a linear matrix inequality and a differential inequality, we obtain an exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time-varying delays. The criterion can be easily applied to the design of fuzzy general neural networks.